{"id":"W1909149443","doi":"10.24908/pceea.v0i0.4020","title":"DEVELOPMENT OF A MULTI-DISCIPLINARY GRADUATE PROGRAM: MASTER OF ENGINEERING IN ENVIRONMENTAL STUDIES AT THE UNIVERSITY OF NEW BRUNSWICK","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Division of Graduate Education","keywords":"Discipline; Engineering management; Salient; Engineering ethics; Engineering; Graduate students; Engineering education; Medical education; Political science; Sociology; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002686447,0.0001448697,0.0002199717,0.0002548078,0.00004520761,0.000004407545,0.0002564022,0.00008926376,0.00002995139],"category_scores_gemma":[0.0001044059,0.0001398518,0.00007017469,0.0003327415,0.0000301192,0.0001002702,0.0000483513,0.0001521696,0.000002535324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184946,"about_ca_system_score_gemma":0.0004476372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995975,"about_ca_topic_score_gemma":0.009271108,"domain_scores_codex":[0.9991136,0.000003936471,0.000365202,0.0001135928,0.000195683,0.0002080092],"domain_scores_gemma":[0.99944,0.00003149287,0.0002197065,0.0001064925,0.0001060218,0.00009624447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003769617,0.0007767321,0.5081674,0.005300897,0.001415535,5.241741e-7,0.3314563,0.07539073,0.05194667,0.002062198,0.01100251,0.01244282],"study_design_scores_gemma":[0.0004257953,0.00002481854,0.9539234,0.0003799857,0.00005792073,0.000002040502,0.004743922,0.007708933,0.02681905,0.00001063049,0.00564207,0.0002614574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984716,0.0003259084,0.00003006672,0.0001378125,0.0004262959,0.0003120107,0.000007244317,0.00003729925,0.000251724],"genre_scores_gemma":[0.9910252,0.00004962421,0.00789193,0.000004530506,0.0000222546,0.000007470555,0.000004985395,0.00002718498,0.0009668167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.445756,"threshold_uncertainty_score":0.570299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05571533905037952,"score_gpt":0.2420906543680835,"score_spread":0.186375315317704,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}